Sangkyun Lee

发表

Signature Selection for Grouped Features with a Case Study on Exon Microarrays

Sangkyun Lee, Sangkyun Lee, 2015, Feature Selection for Data and Pattern Recognition.

Separable Approximate Optimization of Support Vector Machines for Distributed Sensing

Katharina Morik, Sangkyun Lee, Marco Stolpe, 2012, ECML/PKDD.

Characterization of Subgroup Patterns from Graphical Representation of Genomic Data

Sangkyun Lee, 2014, Brain Informatics and Health.

Sparse portfolio selection via the sorted ℓ1-Norm

Sangkyun Lee, Sandra Paterlini, Philipp J. Kremer, 2017, 1710.02435.

Knowledge Discovery from Complex High Dimensional Data

Andreas Holzinger, Sangkyun Lee, Sangkyun Lee, 2016, Solving Large Scale Learning Tasks.

Combining Information-Based Supervised and Unsupervised Feature Selection

Byoung-Tak Zhang, Sangkyun Lee, Seung-Joon Yi, 2006, Feature Extraction.

Scalable stochastic gradient descent with improved confidence

Sangkyun Lee, Christian Bockermann, Sangkyun Lee, 2012 .

Fast Saddle-Point Algorithm for Generalized Dantzig Selector and FDR Control with Ordered L1-Norm

Sangkyun Lee, Malgorzata Bogdan, Damian Brzyski, 2015, AISTATS.

Structure Learning of Gaussian Markov Random Fields with False Discovery Rate Control pdf

Sangkyun Lee, Malgorzata Bogdan, Piotr Sobczyk, 2019, Symmetry.

Implementing Algorithms for Signal and Image Reconstruction on Graphical Processing Units

Stephen J. Wright, Sangkyun Lee, A. Nvidia, 2008 .

Manifold Identification of Dual Averaging Methods for Regularized Stochastic Online Learning

Stephen J. Wright, Sangkyun Lee, Sangkyun Lee, 2011, ICML.

Feature Selection for High-Dimensional Data with RapidMiner

Sangkyun Lee, Viswanath Sivakumar, Benjamin Schowe, 2012 .

Compressed Learning of Deep Neural Networks for OpenCL-Capable Embedded Systems pdf

Sangkyun Lee, Jeonghyun Lee, Sangkyun Lee, 2019, Applied Sciences.

Decomposition Algorithms for Training Large-Scale Semiparametric Support Vector Machines

Stephen J. Wright, Sangkyun Lee, Sangkyun Lee, 2009, ECML/PKDD.

Chapter 24 Combining Information-Based Supervised and Unsupervised Feature Selection

Byoung-Tak Zhang, Sangkyun Lee, Seung-Joon Yi, 2006 .

Sparse portfolio selection via the sorted ℓ1-Norm

Sangkyun Lee, Sandra Paterlini, Philipp J. Kremer, 2020 .

Topographical estimation of visual population receptive fields by FMRI.

Sangkyun Lee, Georgios A Keliris, Amalia Papanikolaou, 2015, Journal of visualized experiments : JoVE.

Spatio-temporal random fields: compressible representation and distributed estimation

Katharina Morik, Sangkyun Lee, Nico Piatkowski, 2013, Machine Learning.

The Integer Approximation of Undirected Graphical Models

Katharina Morik, Sangkyun Lee, Nico Piatkowski, 2014, ICPRAM.

Structure Learning of Gaussian Markov Random Fields with False Discovery Rate Control

Sangkyun Lee, Malgorzata Bogdan, Piotr Sobczyk, 2019, Symmetry.

ASSET: Approximate Stochastic Subgradient Estimation Training for Support Vector Machines

Stephen J. Wright, Sangkyun Lee, Sangkyun Lee, 2012, ICPRAM.

Data Quality Measures and Efficient Evaluation Algorithms for Large-Scale High-Dimensional Data pdf

Sangkyun Lee, Hyeongmin Cho, 2021, ArXiv.

Sparse Inverse Covariance Estimation for Graph Representation of Feature Structure

Sangkyun Lee, Sangkyun Lee, 2014, Interactive Knowledge Discovery and Data Mining in Biomedical Informatics.

Stochastic Subgradient Estimation Training for Support Vector Machines

Stephen J. Wright, Sangkyun Lee, Sangkyun Lee, 2013 .

Spatio-Temporal Models For Sustainability

Katharina Morik, Sangkyun Lee, Nico Piatkowski, 2012 .

Unsupervised Extraction and Supervised Selection of Features Based on Information Gain

Sangkyun Lee, Soo-Young Lee, Paresh Chandra Barman, 2008 .

Integer undirected graphical models for resource-constrained systems

Katharina Morik, Sangkyun Lee, Nico Piatkowski, 2016, Neurocomputing.

Kernel Matrix Completion for Learning Nearly Consensus Support Vector Machines

Sangkyun Lee, Christian Pölitz, Sangkyun Lee, 2014, ICPRAM.

Approximate Stochastic Subgradient Estimation Training for Support Vector Machines pdf

Stephen J. Wright, Sangkyun Lee, Sangkyun Lee, 2011, ArXiv.

Improving Confidence of Dual Averaging Stochastic Online Learning via Aggregation

Sangkyun Lee, 2012, KI.

OPTIMIZATION METHODS FOR REGULARIZED CONVEX FORMULATIONS IN MACHINE LEARNING

Sangkyun Lee, Sangkyun Lee, 2011 .

Kernel Completion for Learning Consensus Support Vector Machines in Bandwidth-limited Sensor Networks

Sangkyun Lee, Christian Pölitz, 2014, ICPRAM.

Manifold Identification in Dual Averaging for Regularized Stochastic Online Learning

Stephen J. Wright, Sangkyun Lee, Sangkyun Lee, 2012, J. Mach. Learn. Res..

Robust CNN Compression Framework for Security-Sensitive Embedded Systems

Sangkyun Lee, Jeonghyun Lee, Sangkyun Lee, 2021, Applied Sciences.